ComfyUI_StableAvatar

StableAvatar: Infinite-Length Audio-Driven Avatar Video Generation,you can try it in ComfyUI

How much VRAM does ComfyUI_StableAvatar require?

Direct Answer: The ComfyUI node ComfyUI_StableAvatar requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
4096MB (4.0GB)
Recommended GPU:
8GB+ VRAM
Low VRAM Mode:
✗ Not supported
Estimation Confidence:
MEDIUM

Interactive VRAM Compatibility Estimator

Estimated Total VRAM: 3.00 GBTarget: 8 GB
✅ Comfortable Fit

Your GPU has plenty of headroom. You can run this node safely with your active configurations!

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Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

What Python packages are required for ComfyUI_StableAvatar?

Direct Answer: Running ComfyUI_StableAvatar requires installing the following Python package dependencies: accelerate>=1.1.1, albumentations, beautifulsoup4, dashscope, datasets, decord, diffusers, easydict, einops, ftfy, ftfy, imageio, imageio, imageio-ffmpeg, librosa, ninja, numpy>=1.23.5,<2, omegaconf, opencv-python>=4.9.0.80, opencv-python, pillow, safetensors, scikit-image, sentencepiece, tensorboard, timm, tokenizers>=0.20.3, tomesd, torch, torchaudio, torchdiffeq, torchsde, torchvision, tqdm, transformers. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
accelerate>=1.1.1
albumentations
beautifulsoup4
dashscope
datasets
decord
diffusers
easydict
einops
ftfy
ftfy
imageio
imageio
imageio-ffmpeg
librosa
ninja
numpy>=1.23.5,<2
omegaconf
opencv-python>=4.9.0.80
opencv-python
pillow
safetensors
scikit-image
sentencepiece
tensorboard
timm
tokenizers>=0.20.3
tomesd
torch
torchaudio
torchdiffeq
torchsde
torchvision
tqdm
transformers

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

Frequently Asked Questions

How much VRAM does ComfyUI_StableAvatar require?

ComfyUI_StableAvatar requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run ComfyUI_StableAvatar on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom

What PyTorch version does ComfyUI_StableAvatar need?

ComfyUI_StableAvatar requires the following PyTorch-related packages: torch, torchaudio, torchdiffeq, torchsde, torchvision. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).

What Python packages are required for ComfyUI_StableAvatar?

To run ComfyUI_StableAvatar, you need to install: accelerate>=1.1.1, albumentations, beautifulsoup4, dashscope, datasets, decord, diffusers, easydict, einops, ftfy, ftfy, imageio, imageio, imageio-ffmpeg, librosa, ninja, numpy>=1.23.5,<2, omegaconf, opencv-python>=4.9.0.80, opencv-python, pillow, safetensors, scikit-image, sentencepiece, tensorboard, timm, tokenizers>=0.20.3, tomesd, torch, torchaudio, torchdiffeq, torchsde, torchvision, tqdm, transformers. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI_StableAvatar in ComfyUI?

To install ComfyUI_StableAvatar: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/smthemex/ComfyUI_StableAvatar, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.